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Tag: ai

  • AI in Multiple GPUs: ZeRO & FSDP

    AI in Multiple GPUs: ZeRO & FSDP Learn how Zero Redundancy Optimizer works, how to implement it from scratch, and how to use it in PyTorch The post AI in Multiple GPUs: ZeRO & FSDP appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • Generative AI, Discriminative Human

    Generative AI, Discriminative Human How to think critically about AI in an ocean of hype The post Generative AI, Discriminative Human appeared first on Towards Data Science. Jason Tamara Widjaja Go to original source

  • Designing Data and AI Systems That Hold Up in Production

    Designing Data and AI Systems That Hold Up in Production A system-level perspective on architecture, agents, and responsible scale The post Designing Data and AI Systems That Hold Up in Production appeared first on Towards Data Science. TDS Editors Go to original source

  • AI Bots Formed a Cartel. No One Told Them To.

    AI Bots Formed a Cartel. No One Told Them To. Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a feature of the math. The post AI Bots Formed a Cartel. No One Told Them To. appeared first on Towards Data Science. Kaushik Rajan Go to original source

  • The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents

    The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents AI can write the code, but you have to steer the ship. Master the knowledge to keep you relevant in the age of AI. The post The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding…

  • AI in Multiple GPUs: How GPUs Communicate

    AI in Multiple GPUs: How GPUs Communicate A deep dive into the hardware infrastructure that enables multi-GPU communication for AI workloads The post AI in Multiple GPUs: How GPUs Communicate appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • Can AI Solve Failures in Your Supply Chain?

    Can AI Solve Failures in Your Supply Chain? When your warehouse and transportation teams blame each other for late deliveries, who’s right? We can ask an agent connected to the data settle the debate. The post Can AI Solve Failures in Your Supply Chain? appeared first on Towards Data Science. Samir Saci Go to original…

  • Advance Planning for AI Project Evaluation

    Advance Planning for AI Project Evaluation The work to do before the work begins The post Advance Planning for AI Project Evaluation appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Use OpenClaw to Make a Personal AI Assistant

    Use OpenClaw to Make a Personal AI Assistant Learn how to set up OpenClaw as a personalized AI agent The post Use OpenClaw to Make a Personal AI Assistant appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • AI in Multiple GPUs: Point-to-Point and Collective Operations

    AI in Multiple GPUs: Point-to-Point and Collective Operations Learn PyTorch distributed operations for multi GPU AI workloads The post AI in Multiple GPUs: Point-to-Point and Collective Operations appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • Building an AI Agent to Detect and Handle Anomalies in Time-Series Data

    Building an AI Agent to Detect and Handle Anomalies in Time-Series Data Combining statistical detection with agentic decision-making The post Building an AI Agent to Detect and Handle Anomalies in Time-Series Data appeared first on Towards Data Science. MADHURA RAUT Go to original source

  • Finding myself disillusioned with the quality of discussion in this sub

    Finding myself disillusioned with the quality of discussion in this sub I see multiple highly-upvoted comments per day saying things like “LLMs aren’t AI,” demonstrating a complete misunderstanding of the technical definitions of these terms. Or worse, comments that say “this stuff isn’t AI, AI is like *insert sci-fi reference*.” And this is just comments…

  • “Rebuilding” Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training

    “Rebuilding” Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training arXiv:2601.17510v1 Announce Type: new Abstract: This article presents the full, original record of the 2024 Joint Statistical Meetings (JSM) town hall, “Statistics in the Age of AI,” which convened leading statisticians to discuss how the field is evolving in…

  • The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies

    The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science. Samir Saci…

  • Do You Smell That? Hidden Technical Debt in AI Development

    Do You Smell That? Hidden Technical Debt in AI Development Why speed without standards creates fragile AI products The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source

  • How AI Can Become Your Personal Language Tutor

    How AI Can Become Your Personal Language Tutor How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and pronunciation correction. The post How AI Can Become Your Personal Language Tutor appeared first on Towards Data Science. Samir Saci Go to original source

  • 4 Techniques to Optimize AI Coding Efficiency

    4 Techniques to Optimize AI Coding Efficiency Learn how to code more effectively using AI The post 4 Techniques to Optimize AI Coding Efficiency appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI

    ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI For the last couple of years, a lot of the conversation around AI has revolved around a single, deceptively simple question: Which model is the best? But the next question was always, the best for what?  The best for reasoning? Writing? Coding? Or…

  • Understanding the Generative AI User

    Understanding the Generative AI User What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)

    Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows. The post Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) appeared first on Towards Data Science. Gal Arav Go to original source

  • 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio

    4 Ways to Supercharge Your Data Science Workflow with Google AI Studio With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate clearer, and automate quicker. The post 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio appeared first on Towards Data Science. Shuai Guo Go to…

  • How to Develop AI-Powered Solutions, Accelerated by AI

    How to Develop AI-Powered Solutions, Accelerated by AI From idea to impact :  using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science. Anna Via Go to original source

  • A Realistic Roadmap to Start an AI Career in 2026

    A Realistic Roadmap to Start an AI Career in 2026 How to learn AI in 2026 through real, usable projects The post A Realistic Roadmap to Start an AI Career in 2026 appeared first on Towards Data Science. Sabrine Bendimerad Go to original source

  • The AI Bubble Will Pop — And Why That Doesn’t Matter

    The AI Bubble Will Pop — And Why That Doesn’t Matter How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science. Michael Malin Go to original source

  • The Problem with AI Browsers: Security Flaws and the End of Privacy

    The Problem with AI Browsers: Security Flaws and the End of Privacy How Atlas and most current AI-powered browsers fail on three aspects: privacy, security, and censorship The post The Problem with AI Browsers: Security Flaws and the End of Privacy appeared first on Towards Data Science. Mike Huls Go to original source

  • Why AI Alignment Starts With Better Evaluation

    Why AI Alignment Starts With Better Evaluation You can’t align what you don’t evaluate The post Why AI Alignment Starts With Better Evaluation appeared first on Towards Data Science. Hailey Quach Go to original source

  • Everyone Can ‘Code’ with AI Now, According to Google—But Tech Workers Aren’t Fully Convinced

    Everyone Can ‘Code’ with AI Now, According to Google—But Tech Workers Aren’t Fully Convinced Have any data scientists here worked with AI for coding? Do you agree with experts’ skepticism in using it for high-level tasks? submitted by /u/disforwork [link] [comments] /u/disforwork Go to original source

  • LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models

    LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models A step-by-step guide to building AI quality control using large language models The post LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models appeared first on Towards Data Science. Piero Paialunga Go…

  • Generative AI Will Redesign Cars, But Not the Way Automakers Think

    Generative AI Will Redesign Cars, But Not the Way Automakers Think Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination The post Generative AI Will Redesign Cars, But Not the Way Automakers Think appeared first on Towards Data Science. Nishant Arora Go to original source

  • Developing Human Sexuality in the Age of AI

    Developing Human Sexuality in the Age of AI How we learn is changing with generative AI — what does that mean for sex education, consent, and responsibility? The post Developing Human Sexuality in the Age of AI appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Meta’s top AI researchers thinks LLMs are a dead end. Do many people here feel the same way from a technical perspective?

    Meta’s top AI researchers thinks LLMs are a dead end. Do many people here feel the same way from a technical perspective? submitted by /u/sext-scientist [link] [comments] /u/sext-scientist Go to original source

  • How to Automate Workflows with AI

    How to Automate Workflows with AI Learn how to take a manual process and optimize it using AI The post How to Automate Workflows with AI appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • “The success of an AI product depends on how intuitively users can interact with its capabilities”

    “The success of an AI product depends on how intuitively users can interact with its capabilities” Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution. The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared…

  • Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI

    Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI This is how to build an AI-powered Song Explainer using Python and OpenAI The post Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI appeared first on Towards Data Science. Piero Paialunga Go to original source

  • Critical Mistakes Companies Make When Integrating AI/ML into Their Processes

    Critical Mistakes Companies Make When Integrating AI/ML into Their Processes What I’ve learned leading AI teams across industries The post Critical Mistakes Companies Make When Integrating AI/ML into Their Processes appeared first on Towards Data Science. Andrey Chubin Go to original source

  • Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP

    Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP Use Claude AI to monitor, analyse, and troubleshoot your n8n automation workflows through natural conversation. The post Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP appeared first on Towards Data Science. Samir Saci Go to…

  • AI Hype: Don’t Overestimate the Impact of AI

    AI Hype: Don’t Overestimate the Impact of AI Targeting moonshots instead of trolleys The post AI Hype: Don’t Overestimate the Impact of AI appeared first on Towards Data Science. Pascal Janetzky Go to original source

  • AI Papers to Read in 2025

    AI Papers to Read in 2025 Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science. The post AI Papers to Read in 2025 appeared first on Towards Data Science. Ygor Serpa Go to original source

  • Does AI Need to Be Conscious to Care?

    Does AI Need to Be Conscious to Care? Towards new forms of artificial moral agency The post Does AI Need to Be Conscious to Care? appeared first on Towards Data Science. Javier Marin Go to original source

  • Has anyones company successfully implemented what is being described as ACP or an AI Mesh?

    Has anyones company successfully implemented what is being described as ACP or an AI Mesh? Has anyones company implemented what is generally described as ACP or what McKinsey describes as an AI Mesh? The concept is a centralized space for AI Agents to “talk to each other”. The link below is a general infographic comparing…

  • Build LLM Agents Faster with Datapizza AI

    Build LLM Agents Faster with Datapizza AI Intro Organizations are increasingly investing in AI as these new tools are adopted in everyday operations more and more. This continuous wave of innovation is fueling the demand for more efficient and reliable frameworks. Following this trend, Datapizza (the startup behind Italy’s tech community) just released an open-source…

  • Water Cooler Small Talk, Ep. 9: What “Thinking” and “Reasoning” Really Mean in AI and LLMs

    Water Cooler Small Talk, Ep. 9: What “Thinking” and “Reasoning” Really Mean in AI and LLMs Understanding how AI models “reason” and why it’s not what humans do when we think The post Water Cooler Small Talk, Ep. 9: What “Thinking” and “Reasoning” Really Mean in AI and LLMs appeared first on Towards Data Science.…

  • How to Apply Powerful AI Audio Models to Real-World Applications

    How to Apply Powerful AI Audio Models to Real-World Applications Learn about different types of AI audio models and the application areas they can be used in. The post How to Apply Powerful AI Audio Models to Real-World Applications appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • AI Agents: From Assistants for Efficiency to Leaders of Tomorrow?

    AI Agents: From Assistants for Efficiency to Leaders of Tomorrow? How artificial intelligence is evolving from “simple” assistants to potential architect of our future-even CEOs and governors The post AI Agents: From Assistants for Efficiency to Leaders of Tomorrow? appeared first on Towards Data Science. Luciano Abriata Go to original source

  • Agentic AI from First Principles: Reflection

    Agentic AI from First Principles: Reflection From theory to code: building feedback loops that improve LLM accuracy The post Agentic AI from First Principles: Reflection appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • How to Keep AI Costs Under Control

    How to Keep AI Costs Under Control Lessons from Scaling LLMs The post How to Keep AI Costs Under Control appeared first on Towards Data Science. Asaf Liveanu Go to original source

  • Agentic AI in Finance: Opportunities and Challenges for Indonesia

    Agentic AI in Finance: Opportunities and Challenges for Indonesia The rise of AI has touched nearly every industry — including finance. In fact, the financial sector has long been an adopter of what we now call “traditional machine learning,” using it for predictive modeling, credit scoring, and risk analytics. But with the current hype around…

  • How to Build An AI Agent with Function Calling and GPT-5

    How to Build An AI Agent with Function Calling and GPT-5 How an AI agent works: a step-by-step guide The post How to Build An AI Agent with Function Calling and GPT-5 appeared first on Towards Data Science. Ayoola Olafenwa Go to original source

  • Can We Save the AI Economy?

    Can We Save the AI Economy? And do we want to? The post Can We Save the AI Economy? appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example

    Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example Learn about the limitations of AI in analytics through the example of bearing vibration data analysis The post Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example appeared first on Towards Data Science. Illia Smoliienko Go to original source

  • From data scientist to a new role ?

    From data scientist to a new role ? Hi everyone, I’m 25, currently working as a Data Scientist & AI Engineer at a large Space company in Europe, with ~2.5 years of experience. My focus has been on LLM R&D, RAG pipelines, satellite telemetry anomaly detection, surrogate modeling, and some FPGA-compatible ML for onboard systems.…

  • 10 Data + AI Observations for Fall 2025

    10 Data + AI Observations for Fall 2025 What’s happening—and what’s next— for data and AI at the close of 2025. The post 10 Data + AI Observations for Fall 2025 appeared first on Towards Data Science. Barr Moses Go to original source

  • AI Engineering and Evals as New Layers of Software Work

    AI Engineering and Evals as New Layers of Software Work How to maintain reliability in inherently stochastic systems The post AI Engineering and Evals as New Layers of Software Work appeared first on Towards Data Science. Clara Chong Go to original source

  • I Made My AI Model 84% Smaller and It Got Better, Not Worse

    I Made My AI Model 84% Smaller and It Got Better, Not Worse The counterintuitive approach to AI optimization that’s changing how we deploy models The post I Made My AI Model 84% Smaller and It Got Better, Not Worse appeared first on Towards Data Science. Arjun Kaarat Go to original source

  • What Clients Really Ask for in AI Projects

    What Clients Really Ask for in AI Projects Managing AI projects is no walk in the park, but you have the power to make it easier for everyone The post What Clients Really Ask for in AI Projects appeared first on Towards Data Science. Ivo Bernardo Go to original source

  • TDS Newsletter: To Better Understand AI, Look Under the Hood

    TDS Newsletter: To Better Understand AI, Look Under the Hood AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and “best thing ever!” crowd. On the other, we find the “we’re doomed!” camp. These aren’t static or monolithic groups, of course. You might even find yourself on both ends of…

  • Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources

    Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources A question-driven scorecard to prioritize and de-risk AI initiatives before implementation The post Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources appeared first on Towards Data Science. Marina Tosic Go to original source

  • Generative AI Myths, Busted: An Engineers’s Quick Guide

    Generative AI Myths, Busted: An Engineers’s Quick Guide A super simple and quick guide to how generative AI works, the myths around it, and why it won’t replace engineers anytime soon. The post Generative AI Myths, Busted: An Engineers’s Quick Guide appeared first on Towards Data Science. Amy Ma Go to original source

  • Deploying AI Safely and Responsibly

    Deploying AI Safely and Responsibly Experts debunk the biggest myths about trustworthy AI The post Deploying AI Safely and Responsibly appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • You Only Need 3 Things to Turn AI Experiments into AI Advantage

    You Only Need 3 Things to Turn AI Experiments into AI Advantage Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars to realize value from AI The post You Only Need 3 Things to Turn AI Experiments into AI Advantage appeared first on Towards Data Science. Shreshth Sharma Go…

  • If we use AI to do our work – what is our job, then?

    If we use AI to do our work – what is our job, then? Images. Text. Audio. There’s no modality that is not handled by AI. And AI systems reach even further, planning advertisement and marketing campaigns, automating social media postings, … Most of this was unthinkable a mere ten years ago. But then, the…

  • How to Build Effective AI Agents to Process Millions of Requests

    How to Build Effective AI Agents to Process Millions of Requests Learn how to build production ready systems using AI agents The post How to Build Effective AI Agents to Process Millions of Requests appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • Agentic AI and the Future of Python Project Management Tooling

    Agentic AI and the Future of Python Project Management Tooling Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents and new entrants The post Agentic AI and the Future of Python Project Management Tooling appeared first on Towards Data Science. Chinmay Kakatkar Go to original source

  • AI Operations Under the Hood: Challenges and Best Practices

    AI Operations Under the Hood: Challenges and Best Practices Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation, and systematic validation The post AI Operations Under the Hood: Challenges and Best Practices appeared first on Towards Data Science. Erika G. Gonçalves Go to original source

  • AI FOMO, Shadow AI, and Other Business Problems

    AI FOMO, Shadow AI, and Other Business Problems What’s the state of AI in business these days, and how much does it cost us? The post AI FOMO, Shadow AI, and Other Business Problems appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques

    How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques Optimize your AI search with RAG, contextual retrieval and evaluations The post How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals

    Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals Explore how Agentic AI is reshaping the tech careers, from data to decision-making, and how professionals can prepare for the future of work The post Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals appeared first…

  • NVIDIA new paper : Small Language Models are the Future of Agentic AI

    NVIDIA new paper : Small Language Models are the Future of Agentic AI NVIDIA have just published a paper claiming SLMs (small language models) are the future of agentic AI. They provide a number of claims as to why they think so, some important ones being they are cheap. Agentic AI requires just a tiny…

  • What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model

    What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model Ever wondered how different things might have been if ChatGPT had existed at the start of Covid? Especially for data scientists who had to update their forecast models? The post What If I Had AI in 2020: Rent The Runway Dynamic Pricing…

  • AI Agents for Supply Chain Optimisation: Production Planning

    AI Agents for Supply Chain Optimisation: Production Planning How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an AI workflow to automate production planning. The post AI Agents for Supply Chain Optimisation: Production Planning appeared first on Towards Data Science. Samir Saci Go to original source

  • Tips for Setting Expectations in AI Projects

    Tips for Setting Expectations in AI Projects If you want your AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, it can make or break the entire initiative. Most people impacted by AI projects don’t fully understand how AI works, or that errors are…

  • LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions

    LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions Stop guessing your statistical test. Let this AI do it for you. The post LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions appeared first on Towards Data Science. Gustavo Santos Go to original source

  • AI isn’t taking your job. Executives are.

    AI isn’t taking your job. Executives are. If AI is ready to replace developers, why aren’t developers replacing themselves with AI and just taking it easy at work? I’m a Director at my company. I’m in the meetings and helping set up the tools that cost people their jobs. Here’s how they work: Claude AI…

  • Agentic AI: On Evaluations

    Agentic AI: On Evaluations Metrics to track for RAG and agents, plus the frameworks that help The post Agentic AI: On Evaluations appeared first on Towards Data Science. Ida Silfverskiöld Go to original source

  • Skills vs. AI Skills

    Skills vs. AI Skills Which skills are timeless, and where is the gap? The post Skills vs. AI Skills appeared first on Towards Data Science. Marina Tosic Go to original source

  • The Stanford Framework That Turns AI into Your PM Superpower

    The Stanford Framework That Turns AI into Your PM Superpower A human-centric guide to AI automation for product managers. The post The Stanford Framework That Turns AI into Your PM Superpower appeared first on Towards Data Science. Rahul Vir Go to original source

  • New Grad Data Scientist feeling overwhelmed and disillusioned at first job

    New Grad Data Scientist feeling overwhelmed and disillusioned at first job Hi all, I recently graduated with a degree in Data Science and just started my first job as a data scientist. The company is very focused on staying ahead/keeping up with the AI hype train and wants my team (which has no other data…

  • Getting AI Discovery Right

    Getting AI Discovery Right A guide to ideating, validating, and prioritizing your AI use cases The post Getting AI Discovery Right appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source

  • Midyear 2025 AI Reflection

    Midyear 2025 AI Reflection Impressions on agentic AI progress and the AI-2027 Jobocalypse scenario The post Midyear 2025 AI Reflection appeared first on Towards Data Science. Marina Tosic Go to original source

  • AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job

    AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook for thriving in the AI agent era The post AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job appeared…

  • Four AI Minds in Concert: A Deep Dive into Multimodal AI Fusion

    Four AI Minds in Concert: A Deep Dive into Multimodal AI Fusion Introduction: From System Architecture to Algorithmic Execution In my previous article, I explored the architectural foundations of the VisionScout multimodal AI system, tracing its evolution from a simple object detection model into a modular framework. There, I highlighted how careful layering, module boundaries,…

  • Why We Should Focus on AI for Women

    Why We Should Focus on AI for Women A simulation study on gender disparities entrenched in AI. The post Why We Should Focus on AI for Women appeared first on Towards Data Science. Shuyang Go to original source

  • A Developer’s Guide to Building Scalable AI: Workflows vs Agents

    A Developer’s Guide to Building Scalable AI: Workflows vs Agents A practical guide to choosing between AI agents and workflows for production systems, covering the hidden costs, architectural trade-offs, and decision framework that can save you thousands in deployment mistakes. Includes real-world examples and a scoring system to determine which approach fits your specific use…

  • Pipelining AI/ML Training Workloads with CUDA Streams

    Pipelining AI/ML Training Workloads with CUDA Streams PyTorch Model Performance Analysis and Optimization — Part 9 The post Pipelining AI/ML Training Workloads with CUDA Streams appeared first on Towards Data Science. Chaim Rand Go to original source

  • Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”

    Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.” Companies pursuing incremental productivity gains risk being displaced by AI-native competitors building entirely new business models The post Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.” appeared first on Towards Data Science. Shreshth Sharma Go to original source

  • Agentic AI: Implementing Long-Term Memory

    Agentic AI: Implementing Long-Term Memory The problem and current solutions The post Agentic AI: Implementing Long-Term Memory appeared first on Towards Data Science. Ida Silfverskiöld Go to original source

  • Building AI-Powered Low-Code Workflows with n8n

    Building AI-Powered Low-Code Workflows with n8n Three powerful workflows that you can apply to your personal life or business today The post Building AI-Powered Low-Code Workflows with n8n appeared first on Towards Data Science. ALESSANDRA COSTA Go to original source

  • [Project] I just open-sourced a plugin to stop AI from hallucinating your schemas

    [Project] I just open-sourced a plugin to stop AI from hallucinating your schemas Hey r/datascience 👋 Using AI tools like Copilot or Cursor can be a total headache for data science work. You’re trying to join tables, and it confidently suggests customer_id when your table actually uses cust_pk. Or worse, it just invents tables that…

  • Stop Building AI Platforms

    Stop Building AI Platforms When small and medium companies achieve success in building Data and ML platforms, building AI platforms is now profoundly challenging The post Stop Building AI Platforms appeared first on Towards Data Science. Ming Gao Go to original source

  • AI Is Not a Black Box (Relatively Speaking)

    AI Is Not a Black Box (Relatively Speaking) Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways. The post AI Is Not a Black Box (Relatively Speaking) appeared first on Towards Data Science. Piotr (Peter) Mardziel Go to original source

  • How AI Agents “Talk” to Each Other

    How AI Agents “Talk” to Each Other Minimize chaos and maintain inter-agent harmony in your projects The post How AI Agents “Talk” to Each Other appeared first on Towards Data Science. TDS Editors Go to original source

  • Can AI Truly Develop a Memory That Adapts Like Ours?

    Can AI Truly Develop a Memory That Adapts Like Ours? Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time. The post Can AI Truly Develop a Memory That Adapts Like Ours? appeared first on Towards Data Science. Moulik Gupta Go to original source

  • Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value

    Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value What actually works with AI agents inside enterprise organizations? The post Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value appeared first on Towards Data Science. Weiwei Hu Go to original source

  • Why AI Projects Fail

    Why AI Projects Fail No one agrees on the exact number, but estimates say anywhere from 50% to 80% of AI projects end in failure. The post Why AI Projects Fail appeared first on Towards Data Science. Ivo Bernardo Go to original source

  • Gaining Strategic Clarity in AI

    Gaining Strategic Clarity in AI Introducing the AI strategy playbook The post Gaining Strategic Clarity in AI appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source

  • The Best AI Books & Courses for Getting a Job

    The Best AI Books & Courses for Getting a Job A comprehensive guide to the books and courses that helped me learn AI The post The Best AI Books & Courses for Getting a Job appeared first on Towards Data Science. Egor Howell Go to original source

  • Building AI Applications in Ruby

    Building AI Applications in Ruby This is the second in a multi-part series on creating web applications with generative AI integration. Part 1 focused on explaining the AI stack and why the application layer is the best place in the stack to be. Check it out here. Table of Contents Introduction I thought spas were supposed…

  • What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

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